@inproceedings{banerjee-etal-2021-prosody-labelled,
title = "Prosody Labelled Dataset for {H}indi",
author = "Banerjee, Esha and
Ojha, Atul Kr. and
Jha, Girish",
editor = "Biswas, Anupam and
Laskar, Rabul Hussain and
Roy, Pinki",
booktitle = "Proceedings of the Workshop on Speech and Music Processing 2021",
month = dec,
year = "2021",
address = "NIT Silchar, India",
publisher = "NLP Association of India (NLPAI)",
url = "https://aclanthology.org/2021.smp-1.2",
pages = "14--19",
abstract = "This study aims to develop an intonation labelled database for Hindi, for enhancing prosody in ASR and TTS systems, which is also helpful for building Speech to Speech Machine Translation systems. Although no single standard for prosody labelling exists in Hindi, researchers in the past have employed perceptual and statistical methods in literature to draw inferences about the behaviour of prosody patterns in Hindi. Based on such existing research and largely agreed upon intonational theories in Hindi, this study attempts to develop a manually annotated prosodic corpus of Hindi speech data, which can be used for training speech models for natural-sounding speech in the future. 500 sentences (2,550 words) for declarative and interrogative types have been labelled using Praat.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="banerjee-etal-2021-prosody-labelled">
<titleInfo>
<title>Prosody Labelled Dataset for Hindi</title>
</titleInfo>
<name type="personal">
<namePart type="given">Esha</namePart>
<namePart type="family">Banerjee</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Atul</namePart>
<namePart type="given">Kr.</namePart>
<namePart type="family">Ojha</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Girish</namePart>
<namePart type="family">Jha</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2021-12</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Workshop on Speech and Music Processing 2021</title>
</titleInfo>
<name type="personal">
<namePart type="given">Anupam</namePart>
<namePart type="family">Biswas</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Rabul</namePart>
<namePart type="given">Hussain</namePart>
<namePart type="family">Laskar</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Pinki</namePart>
<namePart type="family">Roy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>NLP Association of India (NLPAI)</publisher>
<place>
<placeTerm type="text">NIT Silchar, India</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This study aims to develop an intonation labelled database for Hindi, for enhancing prosody in ASR and TTS systems, which is also helpful for building Speech to Speech Machine Translation systems. Although no single standard for prosody labelling exists in Hindi, researchers in the past have employed perceptual and statistical methods in literature to draw inferences about the behaviour of prosody patterns in Hindi. Based on such existing research and largely agreed upon intonational theories in Hindi, this study attempts to develop a manually annotated prosodic corpus of Hindi speech data, which can be used for training speech models for natural-sounding speech in the future. 500 sentences (2,550 words) for declarative and interrogative types have been labelled using Praat.</abstract>
<identifier type="citekey">banerjee-etal-2021-prosody-labelled</identifier>
<location>
<url>https://aclanthology.org/2021.smp-1.2</url>
</location>
<part>
<date>2021-12</date>
<extent unit="page">
<start>14</start>
<end>19</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Prosody Labelled Dataset for Hindi
%A Banerjee, Esha
%A Ojha, Atul Kr.
%A Jha, Girish
%Y Biswas, Anupam
%Y Laskar, Rabul Hussain
%Y Roy, Pinki
%S Proceedings of the Workshop on Speech and Music Processing 2021
%D 2021
%8 December
%I NLP Association of India (NLPAI)
%C NIT Silchar, India
%F banerjee-etal-2021-prosody-labelled
%X This study aims to develop an intonation labelled database for Hindi, for enhancing prosody in ASR and TTS systems, which is also helpful for building Speech to Speech Machine Translation systems. Although no single standard for prosody labelling exists in Hindi, researchers in the past have employed perceptual and statistical methods in literature to draw inferences about the behaviour of prosody patterns in Hindi. Based on such existing research and largely agreed upon intonational theories in Hindi, this study attempts to develop a manually annotated prosodic corpus of Hindi speech data, which can be used for training speech models for natural-sounding speech in the future. 500 sentences (2,550 words) for declarative and interrogative types have been labelled using Praat.
%U https://aclanthology.org/2021.smp-1.2
%P 14-19
Markdown (Informal)
[Prosody Labelled Dataset for Hindi](https://aclanthology.org/2021.smp-1.2) (Banerjee et al., SMP 2021)
ACL
- Esha Banerjee, Atul Kr. Ojha, and Girish Jha. 2021. Prosody Labelled Dataset for Hindi. In Proceedings of the Workshop on Speech and Music Processing 2021, pages 14–19, NIT Silchar, India. NLP Association of India (NLPAI).